Staff Data Scientist

Key Skills

Aartificial intelligence, Azure, Data Lake, Data science techniques, Data Visualization, Data Warehousing, Design, Effective communication skills, ETL/ELT technologies, Java Programming, Machine learning techniques, PowerBI, Python Programming, Snowflake, SQL, Tableau

Job Description

Alert Innovation, now powered by Walmart, is a fast-growing venture on a mission to reinvent retail through robotics. We’ve partnered with Walmart to develop our Alphabot® technology, which is currently being deployed at stores throughout North America.

We're looking for a senior or staff level Data Scientist / Engineer to join our Performance Intelligence Team. You'll play a hands-on role in the development of the data pipelines, transforming data, and creating dashboards for visualization, making data accessible, scalable, and actionable. The ideal candidate possesses a strong aptitude for data, enjoys problem-solving, and effectively manages priorities.

WHAT YOU'LL DO:

• Create data models, reports & analyses to support business needs and convert raw data into meaningful insights through interactive and easy-to-understand dashboards and reports.
• Work collaboratively with stakeholders to define internal and external metrics & system requirements.
• Translate team’s needs into data solutions using data processing software & visualization tools such as Power BI and Tableau.
• Recommend a technical approach to data pipeline development and understand the correct schemas to future-proof data pipelines.
• Develop custom queries, tables, dashboards, and reports.
• Review, improve and optimize existing ETL/SQL queries, dashboard views, and procedures while implementing best practices for data extraction and storage.
• Work on implementation of technology needed to facilitate the transfer of data and integrations with internal and third-party applications.
• Propose, define, review and test data warehouse modifications to improve report design efficiency.

WHAT WE'RE LOOKING FOR:

• 8+ years experience working with databases, data warehouses, data lakes, ETL/ELT and reporting & analytic tools.
• Hands-on experience in extracting data from various data sources and building data models (Star Schema/Snowflake).
• Experience in requirements analysis, design, and prototyping.
• Experience in the architecture and development of scale-able production software and or enterprise data solutions.
• Experience resolving complex issues creatively and efficiently.
• A strong working knowledge of KQL, SQL, Azure ADX, and or relational databases.
• Demonstrated proficiency in transferring data between cross-platform applications.
• Ability to write clean, readable, and maintainable software with documentation in Java and/or Python (but experience with both not required).
• Excellent written & oral communication skills, and strong organizational & planning skills.
• Experience with data visualization tools like Power BI or Tableau (3+ years preferred)
• Experience with cloud data platforms (experience with Azure is a plus).
• Experience with machine learning and or artificial intelligence is a plus.
• B.S. in Computer Science, Data Engineering, or related field.